A Heuristic Model for Predicting Bankruptcy

نویسندگان

  • Ahmad Nasseri University of Sistan and Baluchestan (Corresponding author)
  • Sajad Abdipour PhD candidate in accounting, Islamic Azad University Kermanshah Branch
  • Shahoo Aghabeigzadeh Faculty Member of the University of Marine Science and Maritime Chabahar
چکیده مقاله:

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in today’s fast changing business environment  

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عنوان ژورنال

دوره 2  شماره 5

صفحات  1- 7

تاریخ انتشار 2017-04-01

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